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Protein Folding

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Showing 76–100 of 185 papers

TitleStatusHype
Machine Learning and Big Scientific Data—0
Machine learning for protein folding and dynamics—0
Mimetic Neural Networks: A unified framework for Protein Design and Folding—0
Molecular Diffusion Models with Virtual Receptors—0
Molecular information theory meets protein folding—0
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction—0
Neighborhood Information-based Probabilistic Algorithm for Network Disintegration—0
Normalizing Flows on Riemannian Manifolds—0
On the Robustness of AlphaFold: A COVID-19 Case Study—0
On the scale-free nature of RNA secondary structure networks—0
Optimal Strategy for Stabilizing Protein Folding Intermediates—0
P: A Universal Measure of Predictive Intelligence—0
Predicting protein folding dynamics using sequence information—0
Prediction of amino acid side chain conformation using a deep neural network—0
Predictive landscapes hidden beneath biological cellular automata—0
Prompt-Guided Injection of Conformation to Pre-trained Protein Model—0
Protein Folding: From Classical Issues to a New Perspective—0
Protein folding classes -- High-dimensional geometry of amino acid composition space revisited—0
Protein Folding Neural Networks Are Not Robust—0
Protein Folding Optimization using Differential Evolution Extended with Local Search and Component Reinitialization—0
Protein folding simulations in the hydrophobic-polar model using a hybrid cuckoo search algorithm—0
Protein Folding/Unfolding Phenomenon is originated by Synchronization/Desynchronization of Instantaneously Induced Oscillating Dipoles. A Hypothesis—0
Protein Inverse Folding From Structure Feedback—0
Protein residue networks from a local search perspective—0
Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction—0
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